North American Forecasting Model: Outage, Damage and Load

Photo Credit: Patrick Dodson

Researchers:

PI: Diego Cerrai (UConn)

Co-PIs:

Marina Astitha, E. Anagnostou, D. Song (UConn);

Jeffrey Freedman, Sukanta Basu (Albany)

The WISER North American Forecasting Model transforms weather data into actionable intelligence, allowing energy companies to shift from reactive to proactive grid management by integrating AI-driven predictions for:

Infrastructure damage
Customer outages
Energy load spikes

Industry Relevance

Storm outages increase financial risks & undermine reliability. Current prediction gaps lead to inefficient resource allocation.

Project Goal

Develop the North American Outage Prediction Model to predict system failures across the entire CONUS + Quebec, blending proprietary & public data

Phased Roadmap

Phase I lays a foundation through delivering high quality data integration and a model ready outage database in Y1, leading to a Active Regional Outage Pilot in Year 2.

Phase 1: Local

(Years 1-2)

ISO-NE, NYISO, CAISO. Operational OPM Pilot